全向视觉归巢需要结构吗?

2005 International Symposium on Computational Intelligence in Robotics and Automation Pub Date : 2005-06-27 DOI:10.1109/CIRA.2005.1554294

T. Goedemé, T. Tuytelaars, L. Gool, D. Vanhooydonck, E. Demeester, M. Nuttin

{"title":"全向视觉归巢需要结构吗?","authors":"T. Goedemé, T. Tuytelaars, L. Gool, D. Vanhooydonck, E. Demeester, M. Nuttin","doi":"10.1109/CIRA.2005.1554294","DOIUrl":null,"url":null,"abstract":"Upcoming fast vision techniques for finding image correspondences enable reliable real-time visual homing, i.e. the guidance of a mobile robot from a arbitrary start pose towards a goal pose defined by an image taken there. Two approaches emerge in the field that differ in the fact that the structure of the scene is estimated or not. In this paper, we compare these two approaches for the general case and especially for our application, being automatic wheelchair navigation.","PeriodicalId":162553,"journal":{"name":"2005 International Symposium on Computational Intelligence in Robotics and Automation","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Is structure needed for omnidirectional visual homing?\",\"authors\":\"T. Goedemé, T. Tuytelaars, L. Gool, D. Vanhooydonck, E. Demeester, M. Nuttin\",\"doi\":\"10.1109/CIRA.2005.1554294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Upcoming fast vision techniques for finding image correspondences enable reliable real-time visual homing, i.e. the guidance of a mobile robot from a arbitrary start pose towards a goal pose defined by an image taken there. Two approaches emerge in the field that differ in the fact that the structure of the scene is estimated or not. In this paper, we compare these two approaches for the general case and especially for our application, being automatic wheelchair navigation.\",\"PeriodicalId\":162553,\"journal\":{\"name\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIRA.2005.1554294\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Symposium on Computational Intelligence in Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIRA.2005.1554294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 14

摘要

即将到来的用于寻找图像对应的快速视觉技术能够实现可靠的实时视觉归位，即从任意开始姿势到由在那里拍摄的图像定义的目标姿势的移动机器人的指导。该领域出现了两种方法，它们的不同之处在于场景的结构是否被估计。在本文中，我们比较了这两种方法的一般情况下，特别是我们的应用，即自动轮椅导航。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Is structure needed for omnidirectional visual homing?

Upcoming fast vision techniques for finding image correspondences enable reliable real-time visual homing, i.e. the guidance of a mobile robot from a arbitrary start pose towards a goal pose defined by an image taken there. Two approaches emerge in the field that differ in the fact that the structure of the scene is estimated or not. In this paper, we compare these two approaches for the general case and especially for our application, being automatic wheelchair navigation.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2005 International Symposium on Computational Intelligence in Robotics and Automation

自引率

0.00%

发文量